Hi, how can I do a data step in R which can be best described in SQL terminology as an outer join of rows (eg cases) and inner join of columns (variables)? In case of conflicting non-missing values the first dataset has higher always priority. Missing values should always be replaced by valid values (cf. coalesce function in SQL):
INPUT DATASET 1: A B C 1 11 NA 31 2 12 22 32 3 NA 23 33 INPUT DATASET 2: C D E 2 NA 42 52 3 NA 43 53 4 34 44 54 OUTPUT DATASET: A B C D E 1 11 NA 31 NA NA 2 12 22 32 42 52 3 NA 23 33 43 53 4 NA NA 34 44 54 Thanks in advance, Will ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
